Variety release decisions usually involve trade-offs between growers and end-users as well as substantial uncertainties about agronomic, quality, and economic variables. In this paper, methodologies were developed to value grower and end-user characteristics for individual wheat varieties and to...

Development of genetically modified (GM) crops is challenging the functions of the grain marketing system. A stochastic optimization model was developed in this study to determine optimal testing strategies. The model chooses the optimal testing strategy that maximizes utility (minimizes...

Variety release decisions usually involve trade-offs between growers and end-users as well as substantial uncertainties about agronomic, quality, and economic variables. In this paper, methodologies were developed to value grower and end-user characteristics for individual wheat varieties and to...

Development of genetically modified (GM) crops is challenging the functions of the grain marketing system. A stochastic optimization model was developed in this study to determine optimal testing strategies. The model chooses the optimal testing strategy that maximizes utility (minimizes...

A stochastic optimization model was developed to determine optimal testing strategies, costs, and risks for dual marketing of genetically modified (GM) and non-GM wheat in an export supply chain. The optimal testing strategy is derived that minimizes disutility of additional system costs due to...

Demand for identity-preserved (IP) crops produced by Northern Plains farmers is increasing. Buyers are willing to pay a premium for grains that can be guaranteed to possess a unique characteristic. Several general crop management practices apply to crops raised for IP. These include greater...